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Forward Deployed Engineer - Data-as-a-Service Jobs (On-site work)

42 Job Offers

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RHI Magnesita
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Applications Engineer II
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United States of America , Mesa
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76800.00 - 140000.00 USD / Year
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Arrow Electronics
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Explore cutting-edge Forward Deployed Engineer - Data-as-a-Service jobs, a pivotal role at the intersection of advanced AI technology and strategic business consulting. Professionals in this elite field act as the crucial bridge between complex enterprise challenges and production-ready, data-driven AI solutions. Unlike traditional software engineers, Forward Deployed Engineers (FDEs) specializing in Data-as-a-Service (DaaS) and AI embed directly within client environments to translate high-stakes business objectives into tangible, operational systems that deliver measurable value. This career path is ideal for those who thrive on ambiguity, ownership, and delivering real-world impact. The core mission of a Forward Deployed Engineer in the DaaS and AI domain is to accelerate client adoption and ROI from sophisticated data and AI platforms. Typical responsibilities begin with deep business discovery, where the engineer immerses themselves with customer stakeholders to understand nuanced operational problems. They then architect and build custom solutions, which often involve designing multi-agent AI systems, developing retrieval-augmented generation (RAG) pipelines, and integrating platforms with existing enterprise infrastructure like cloud services, data lakes, CRMs, and ERPs. A significant part of the role involves being the technical authority throughout the entire customer lifecycle—from pre-sales solution envisioning and prototyping to post-sales deployment, integration, and scaling. Furthermore, these engineers serve as a vital feedback loop to internal product teams, synthesizing field insights on common pain points and integration patterns to directly influence the core product roadmap. To excel in these high-impact jobs, a specific blend of deep technical expertise and exceptional business acumen is required. Technically, proficiency in the modern AI stack is non-negotiable, including hands-on experience with large language models (LLMs), generative AI concepts, vector databases, and agent orchestration frameworks like LangChain. Strong software engineering skills in languages such as Python, JavaScript/TypeScript, or Go are essential for building robust integrations and APIs. On the soft skill side, candidates must possess unrivaled communication abilities to distill technical complexity into clear value propositions for both C-suite executives and engineering teams. They are strategic consultants who can navigate enterprise compliance and data privacy requirements while driving projects under tight deadlines. A successful Forward Deployed Engineer is ultimately a builder, a trusted advisor, and a catalyst for innovation, making these roles some of the most dynamic and sought-after jobs in today's technology landscape.

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